An Alternative Statistical Model to Analysis Pearl Millet (Bajra) Yield in Province Punjab and Pakistan

Background. A country’s agriculture reflects a backbone and performs vital part in the betterment of economy individuals. Facts figures sector offer solid foundation factual pathway intended for upcoming decisions favor country. Accordingly, probability models have more significant influence not only reliability engineering, hydrology, ecology, medicine but also sciences. Objective. The primary objective this study is to propose reliable efficient model pearl millet yield analysis, thereby empowering decision-makers make informed about their farming practices. With successful implementation model, farmers can potentially increase yield, leading higher incomes improved livelihoods rural population Pakistan. Model. This proposes novel namely, alpha transformed odd exponential power function (ATOE-PF) distribution, analyzing Punjab, Data. For data collection, two secondary sets are explored that electronically available on site Directorate Agriculture (Economics Marketing) Lahore, Results. maximum likelihood estimation technique used estimating parameters. selection better fit we follow some accredited goodness tests. efficiency applicability ATOE-PF distribution discussed over province Punjab (with RMSE = 4.9176) Pakistan 4.5849). Better estimates closest among well-established neighboring robust evidence support as well.